
No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. An award-winning author and leading computer scientist reveals its turbulent history and the recent surge of successes, grand hopes, and emerging fears that surround AI. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Go del, Escher, Bach, who explains why he is ́terrified ́ about the future of AI.
In the short-term (5-10 years, I cant see them autonomously producing products), it will need an experienced programmer to interpret and use the output effectively.
An implication of this is, in the short-term, developers become even more valuable. You still need them, and these tools will make the developer significantly more productive.
I was reading Melanie Mitchell's book 'Artificial Intelligence: A guide for thinking humans' recently (which I'd recommend). She has this chapter on computer-vision. And as an example, she shows a photograph of a guy in military clothing, wearing a backpack, in what looks like an airport, and he's embracing a dog. She makes an insightful point, that our interpretation of this photograph relies a lot on living-in-the-world experience (soldier returning from service, being met by his family dog). And the only way for AI to come close to our interpretation of this, is maybe to have it live in the world, which is obviously not such an easy thing to achieve. Maybe there's an analogy there with software development, to develop software for people, there's a lot of real-world interaction and understanding required.
In terms of autonomously producing products, I see these tools as they are now a bit like software wizards, or a website that Wordpress will create for you. You get a 'product' up-and-running very quickly, and it looks initially fantastic. But when you want to refine details of it, this is where you get into trouble. AI has an advantage over old-fashioned wizards, in that you can interact with it after the initial run, and refine it that way. But I'm not sure this is so easy, to have that fine-grained control you have with code. This is where I see the challenge being, to develop tools to talk to it, and refine the product sufficiently.
Researchers have done so. One good resource is Melanie Mitchell's book Artificial Intelligence: A Guide for Thinking Humans (i presume a 2nd edition is in works to incorporate LLMs/ChatGPT etc.) Also checkout her videos on youtube.
The problem is that technologically clueless vested interests in the business/media push sound bites to the already distracted public thus distorting everything.
I think this applies generally to everything AI related. The common man has no idea, does not think and is easily fooled by all the hype.
However, my fear is that AI generated content masquerading as Knowledge will become mainstream sooner rather than later. How we as a Society deal with it is yet to be defined.
PS: Melanie Mitchell's Artificial Intelligence: A Guide for Thinking Humans is a must read for the "common man".
Book suitable even for lay people, written by someone who has been working for years in this field:
[1] Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
People to follow:
[2] https://twitter.com/missy_cummings/
[3] https://twitter.com/rodneyabrooks/
[4] https://www.twitter.com/MelMitchell1/
Edit: For criticism of Elon Musk and/or Tesla:
[5] https://www.elonmusk.today/
[6] https://en.wikipedia.org/wiki/Criticism_of_Tesla
[7] https://en.wikipedia.org/wiki/List_of_lawsuits_involving_Tes....
[8] https://www.currentaffairs.org/2021/04/surely-we-can-do-bett...
[9] https://troll.tv/videos/watch/54bc7bd0-8691-4359-aa7d-dc5148...
[1] https://www.youtube.com/watch?v=antLneVlxcs
[2] https://www.youtube.com/watch?v=uClWlVCwHsI
[3] https://www.youtube.com/watch?v=_Ozx5R-P9zM
[4] https://twitter.com/olivercameron/status/1319835514887831552
[5] https://www.youtube.com/watch?v=29GZg4gGMMM
Other things:
[1] https://www.elonmusk.today/
[2] a video which was taken down from youtube
https://troll.tv/videos/watch/54bc7bd0-8691-4359-aa7d-dc5148...
[3] https://en.wikipedia.org/wiki/Criticism_of_Tesla
[4] https://en.wikipedia.org/wiki/List_of_lawsuits_involving_Tes....
Bonus material:
[1] https://www.youtube.com/watch?v=NsKwMryKqRE
Edit: For saner info regarding self-driving, A.I etc:
[1] https://twitter.com/missy_cummings/
[2] https://www.twitter.com/MelMitchell1
[3] https://twitter.com/rodneyabrooks
[4] book to read, suitable even for laypeople >> 'Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell
IMO everyone should read that book
Edit 2: Children of the Magenta Line
I didn't read any non-fiction for a long time before I was given a book as a gift [0] that was really good. Since then, I have received a few other recommendations that I enjoyed [1-2].
[0] Artificial Intelligence by Melanie Mitchell
[1] Algorithms to Live By by Brian Christian and Tom Griffiths
[2] The Theoretical Minimum Series by Leonard Susskind
